Evidence map›Paper›PMID 25263997›Full record

ReviewAnnals of neurology2014

Precision medicine in chronic disease management: The multiple sclerosis BioScreen.

Pierre-Antoine Gourraud, Roland G Henry, Bruce A C Cree, Jason C Crane, Antoine Lizee, Marram P Olson, Adam V Santaniello, Esha Datta, Alyssa H Zhu, Carolyn J Bevan and 11 more

Abstract readReview
In one paragraph

Review in Annals of neurology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Consensus quality indicators for monitoring multiple sclerosis.The Lancet regional health. Europe · 2024
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Pierre-Antoine GourraudDepartment of Neurology, School of Medicine, University of California, San Francisco, San Francisco, CA.
Roland G Henry
Bruce A C Cree
Jason C Crane
Antoine Lizee
Marram P Olson
Adam V Santaniello
Esha Datta
Alyssa H Zhu
Carolyn J Bevan
Jeffrey M Gelfand
Jennifer S Graves
Douglas S Goodin
Ari J Green
H-Christian von Büdingen
Emmanuelle Waubant
Scott S Zamvil
Elizabeth Crabtree-Hartman
Sarah Nelson
Sergio E Baranzini
Stephen L Hauser

Funding

A Haplotype Map for Multiple SclerosisR01NS049477 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAUSER, STEPHEN L · 2005 to 2014
$15.3M
Clinical and Transtional Science InstituteKL2TR000143 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$11.9M
NCATS NIH HHS KL2 TR000143NCATS NIH HHS KL2TR000143NINDS NIH HHS R01 NS049477
6 · The paper itself

Abstract

We present a precision medicine application developed for multiple sclerosis (MS): the MS BioScreen. This new tool addresses the challenges of dynamic management of a complex chronic disease; the interaction of clinicians and patients with such a tool illustrates the extent to which translational digital medicine-that is, the application of information technology to medicine-has the potential to radically transform medical practice. We introduce 3 key evolutionary phases in displaying data to health care providers, patients, and researchers: visualization (accessing data), contextualization (understanding the data), and actionable interpretation (real-time use of the data to assist decision making). Together, these form the stepping stones that are expected to accelerate standardization of data across platforms, promote evidence-based medicine, support shared decision making, and ultimately lead to improved outcomes.

Indexed as

Disease ManagementInformation TheoryDatabases, FactualEvidence-Based MedicineHumansMultiple SclerosisSoftware

Identifiers

PMID25263997
PMCPMC4214886

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.